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Data Literacy in Practice

You're reading from Data Literacy in Practice A complete guide to data literacy and making smarter decisions with data through intelligent actions

Product type Paperback

Published in Nov 2022

Publisher Packt

ISBN-13 9781803246758

Length 396 pages

Edition 1st Edition

Concepts

Data Analysis

Authors (2):

Kevin Hanegan

Angelika Klidas

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Understanding the Data Literacy Concepts

2. Chapter 1: The Beginning – The Flow of Data FREE CHAPTER

3. Chapter 2: Unfolding Your Data Journey

4. Chapter 3: Understanding the Four-Pillar Model

5. Chapter 4: Implementing Organizational Data Literacy

6. Chapter 5: Managing Your Data Environment

7. Part 2: Understanding How to Measure the Why, What, and How

8. Chapter 6: Aligning with Organizational Goals

9. Chapter 7: Designing Dashboards and Reports

10. Chapter 8: Questioning the Data

11. Chapter 9: Handling Data Responsibly

12. Part 3: Understanding the Change and How to Assess Activities

13. Chapter 10: Turning Insights into Decisions

14. Chapter 11: Defining a Data Literacy Competency Framework

15. Chapter 12: Assessing Your Data Literacy Maturity

16. Chapter 13: Managing Data and Analytics Projects

17. Chapter 14: Appendix A – Templates

18. Chapter 15: Appendix B – References

19. Index

Why subscribe?

20. Other Books You May Enjoy

Identifying KPIs

Identifying the right KPIs is critically important for data-informed organizations because they help keep objectives and organizational goals as key drivers of decision making. Having the wrong KPIs can waste a lot of time and effort working toward the wrong outcomes as well as have serious unintended consequences. Unintended consequences are discussed in more detail in the next section of this chapter. This section will help us first identify key characteristics of KPIs, and then how to identify the two types of KPIs: leading and lagging.

Characteristics of KPIs

Organizations always have some level of KPIs they are driving toward, but there are many times that those KPIs have a flaw in them. These flaws can lead to organizations that are striving to achieve their KPIs, but even if they do, they do not improve on the desired goals and outcomes. The following 10 characteristics will help you identify and define proper KPIs:

Ties to strategic objectives...

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Authors (2)

Angelika Klidas

Angelika Klidas

Angelika is a highly skilled denizen of the Data world. As operations manager for several organizations, strategic advisor and Data Literacy evangelist, she is able to analyze BI & Analytics environments expertly, map the ambitions of organizations and deliver cutting-edge advice to help organizations mature their data use. Inspiring organizations and people to grow in Business Intelligence & Analytics maturity is her passion. In addition to teaching at the University of Applied Sciences in Amsterdam, where she spreads her knowledge and passion to her Data & Analytics students

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Kevin Hanegan

Kevin Hanegan

Kevin has helped individuals and organizations maximize the value they receive from their data for over 20 years. He is a is a frequent speaker and thought leader on topics including data literacy, data-informed decision making, decision intelligence, and essential skills for today's workforce. He is currently the Chief Learning Officer at Qlik, a data and analytics company, as well as the chair of the advisory board for The Data Literacy Project. Kevin is also an accomplished author of multiple books, including Turning Data into Wisdom, which helps individuals learn strategies to make data-informed decisions. He applies his passion both in the corporate setting and also in academia where he is an adjust professor at Boise State University.

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